steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h" |
| 25 | |
| 26 | #include "arm_compute/core/AccessWindowStatic.h" |
| 27 | #include "arm_compute/core/CL/CLHelpers.h" |
| 28 | #include "arm_compute/core/CL/CLKernelLibrary.h" |
| 29 | #include "arm_compute/core/CL/ICLTensor.h" |
| 30 | #include "arm_compute/core/Error.h" |
| 31 | #include "arm_compute/core/Helpers.h" |
| 32 | #include "arm_compute/core/IAccessWindow.h" |
| 33 | #include "arm_compute/core/ITensor.h" |
| 34 | #include "arm_compute/core/Types.h" |
Gian Marco Iodice | 5cb4d6a | 2017-08-08 10:53:00 +0100 | [diff] [blame^] | 35 | #include "arm_compute/core/Utils.h" |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 36 | #include "arm_compute/core/Validate.h" |
| 37 | #include "support/ToolchainSupport.h" |
| 38 | |
| 39 | using namespace arm_compute; |
| 40 | |
SiCong Li | c51b72f | 2017-07-28 14:46:20 +0100 | [diff] [blame] | 41 | CLDirectConvolutionLayerKernel::CLDirectConvolutionLayerKernel() |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 42 | : _input(nullptr), _biases(nullptr), _weights(nullptr), _output(nullptr), _border_size(0), _conv_pad_x(0), _conv_pad_y(0), _conv_stride_x(0), _conv_stride_y(0) |
| 43 | { |
| 44 | } |
| 45 | |
SiCong Li | c51b72f | 2017-07-28 14:46:20 +0100 | [diff] [blame] | 46 | BorderSize CLDirectConvolutionLayerKernel::border_size() const |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 47 | { |
| 48 | return _border_size; |
| 49 | } |
| 50 | |
SiCong Li | c51b72f | 2017-07-28 14:46:20 +0100 | [diff] [blame] | 51 | void CLDirectConvolutionLayerKernel::configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info) |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 52 | { |
SiCong Li | c51b72f | 2017-07-28 14:46:20 +0100 | [diff] [blame] | 53 | ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); |
Gian Marco Iodice | 5cb4d6a | 2017-08-08 10:53:00 +0100 | [diff] [blame^] | 54 | ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, weights); |
| 55 | ARM_COMPUTE_ERROR_ON_MSG(weights->info()->dimension(0) != weights->info()->dimension(1), |
| 56 | "Only kernel sizes 1x1 and 3x3 are supported"); |
| 57 | ARM_COMPUTE_ERROR_ON_MSG(weights->info()->dimension(0) != 1 && weights->info()->dimension(0) != 3, |
| 58 | "Only kernel sizes 1x1 and 3x3 are supported"); |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 59 | ARM_COMPUTE_ERROR_ON(weights->info()->dimension(2) != input->info()->dimension(2)); |
| 60 | ARM_COMPUTE_ERROR_ON(weights->info()->dimension(0) != weights->info()->dimension(1)); |
| 61 | ARM_COMPUTE_ERROR_ON(weights->info()->num_dimensions() > 4); |
Gian Marco Iodice | 5cb4d6a | 2017-08-08 10:53:00 +0100 | [diff] [blame^] | 62 | ARM_COMPUTE_ERROR_ON_MSG((weights->info()->dimension(0) == 1) && std::get<0>(conv_info.stride()) > 3, "Strides larger than 3 not supported for 1x1 convolution."); |
| 63 | ARM_COMPUTE_ERROR_ON_MSG((weights->info()->dimension(0) == 3) && std::get<0>(conv_info.stride()) > 2, "Strides larger than 2 not supported for 3x3 convolution."); |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 64 | |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 65 | if(biases != nullptr) |
| 66 | { |
| 67 | ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(weights, biases); |
| 68 | ARM_COMPUTE_ERROR_ON(biases->info()->dimension(0) != weights->info()->dimension(3)); |
| 69 | ARM_COMPUTE_ERROR_ON(biases->info()->num_dimensions() > 1); |
| 70 | } |
| 71 | |
Gian Marco Iodice | 5cb4d6a | 2017-08-08 10:53:00 +0100 | [diff] [blame^] | 72 | const unsigned int kernel_size = weights->info()->dimension(0); |
| 73 | |
| 74 | // Get convolved dimensions |
| 75 | unsigned int output_width = 0; |
| 76 | unsigned int output_height = 0; |
| 77 | std::tie(output_width, output_height) = scaled_dimensions(input->info()->dimension(0), input->info()->dimension(1), kernel_size, kernel_size, conv_info); |
| 78 | |
| 79 | TensorShape output_shape = input->info()->tensor_shape(); |
| 80 | output_shape.set(0, output_width); |
| 81 | output_shape.set(1, output_height); |
| 82 | output_shape.set(2, weights->info()->dimension(3)); |
| 83 | |
| 84 | // Output auto inizialitation if not yet initialized |
| 85 | auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position()); |
| 86 | |
| 87 | ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape); |
| 88 | ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| 89 | ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); |
| 90 | |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 91 | _conv_stride_x = std::get<0>(conv_info.stride()); |
| 92 | _conv_stride_y = std::get<1>(conv_info.stride()); |
Gian Marco Iodice | 5cb4d6a | 2017-08-08 10:53:00 +0100 | [diff] [blame^] | 93 | _conv_pad_x = std::min(std::get<0>(conv_info.pad()), kernel_size / 2); |
| 94 | _conv_pad_y = std::min(std::get<1>(conv_info.pad()), kernel_size / 2); |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 95 | |
| 96 | _input = input; |
| 97 | _weights = weights; |
| 98 | _output = output; |
| 99 | _biases = biases; |
| 100 | _border_size = BorderSize(_conv_pad_y, _conv_pad_x); |
| 101 | |
| 102 | std::stringstream kernel_name; |
| 103 | std::set<std::string> options; |
| 104 | kernel_name << "direct_convolution" << kernel_size << "x" << kernel_size; |
| 105 | |
Gian Marco Iodice | 5cb4d6a | 2017-08-08 10:53:00 +0100 | [diff] [blame^] | 106 | options.emplace("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())); |
| 107 | options.emplace("-DDATA_SIZE=" + get_data_size_from_data_type(input->info()->data_type())); |
| 108 | options.emplace("-DWEIGHTS_DEPTH=" + support::cpp11::to_string(_weights->info()->dimension(2))); |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 109 | options.emplace("-DSTRIDE_X=" + support::cpp11::to_string(_conv_stride_x)); |
| 110 | |
| 111 | if(_biases != nullptr) |
| 112 | { |
| 113 | options.emplace("-DHAS_BIAS"); |
| 114 | } |
| 115 | |
| 116 | _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name.str(), options)); |
| 117 | |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 118 | // Configure kernel window |
| 119 | Window win = calculate_max_window(*output->info()); |
| 120 | |
Gian Marco Iodice | 5cb4d6a | 2017-08-08 10:53:00 +0100 | [diff] [blame^] | 121 | bool is_kernel3x3_stride2 = ((kernel_size == 3) && (_conv_stride_x == 2)); |
| 122 | |
| 123 | const unsigned int num_elems_read_per_iteration_x = 8 + 2 * (kernel_size / 2) + (is_kernel3x3_stride2 ? 7 : 0); |
| 124 | const unsigned int num_elems_read_per_iteration_y = kernel_size; |
| 125 | const unsigned int num_elems_written_per_iteration_x = 8; |
| 126 | const unsigned int num_elems_written_per_iteration_y = 1; |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 127 | |
| 128 | // Calculate right and bottom border |
Gian Marco Iodice | 5cb4d6a | 2017-08-08 10:53:00 +0100 | [diff] [blame^] | 129 | const int input_width = input->info()->dimension(0) - kernel_size / 2 + _conv_pad_x; |
| 130 | const int input_height = input->info()->dimension(1) - kernel_size / 2 + _conv_pad_y; |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 131 | |
| 132 | // Create window and update padding |
Gian Marco Iodice | 5cb4d6a | 2017-08-08 10:53:00 +0100 | [diff] [blame^] | 133 | win = calculate_max_window(*output->info(), Steps(num_elems_written_per_iteration_x, num_elems_written_per_iteration_y)); |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 134 | |
Gian Marco Iodice | 5cb4d6a | 2017-08-08 10:53:00 +0100 | [diff] [blame^] | 135 | AccessWindowStatic input_access(input->info(), -_conv_pad_x, -_conv_pad_y, input_width + num_elems_read_per_iteration_x, input_height + num_elems_read_per_iteration_y); |
| 136 | AccessWindowStatic weights_access(weights->info(), 0, 0, kernel_size, kernel_size); |
| 137 | AccessWindowRectangle output_access(output->info(), 0, 0, num_elems_written_per_iteration_x, num_elems_written_per_iteration_y); |
| 138 | |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 139 | update_window_and_padding(win, input_access, weights_access, output_access); |
| 140 | |
| 141 | output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape())); |
| 142 | |
| 143 | ICLKernel::configure(win); |
| 144 | } |
| 145 | |
SiCong Li | c51b72f | 2017-07-28 14:46:20 +0100 | [diff] [blame] | 146 | void CLDirectConvolutionLayerKernel::run(const Window &window, cl::CommandQueue &queue) |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 147 | { |
| 148 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 149 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); |
| 150 | |
| 151 | // Get initial windows |
| 152 | Window slice = window.first_slice_window_3D(); |
| 153 | Window win_in = window; |
| 154 | |
| 155 | win_in.adjust(Window::DimX, -_conv_pad_x, true); |
| 156 | win_in.adjust(Window::DimY, -_conv_pad_y, true); |
| 157 | win_in.set_dimension_step(Window::DimX, window.x().step() * _conv_stride_x); |
| 158 | win_in.set_dimension_step(Window::DimY, window.y().step() * _conv_stride_y); |
| 159 | |
| 160 | Window slice_in = win_in.first_slice_window_3D(); |
| 161 | |
| 162 | unsigned int idx1 = 2 * num_arguments_per_3D_tensor(); |
| 163 | add_3D_tensor_argument(idx1, _weights, slice); |
| 164 | |
| 165 | if(_biases != nullptr) |
| 166 | { |
| 167 | Window slice_biases; |
| 168 | slice_biases.use_tensor_dimensions(_biases->info()); |
| 169 | add_1D_tensor_argument(idx1, _biases, slice_biases); |
| 170 | } |
| 171 | |
Gian Marco Iodice | 5cb4d6a | 2017-08-08 10:53:00 +0100 | [diff] [blame^] | 172 | _kernel.setArg(idx1++, static_cast<unsigned int>(_weights->info()->strides_in_bytes()[3])); |
| 173 | |
steniu01 | 27b386c | 2017-07-18 17:37:43 +0100 | [diff] [blame] | 174 | do |
| 175 | { |
| 176 | unsigned int idx = 0; |
| 177 | add_3D_tensor_argument(idx, _input, slice_in); |
| 178 | add_3D_tensor_argument(idx, _output, slice); |
| 179 | |
| 180 | enqueue(queue, *this, slice, _lws_hint); |
| 181 | } |
| 182 | while(window.slide_window_slice_3D(slice) && win_in.slide_window_slice_3D(slice_in)); |
| 183 | } |